Jan Lamb learned, Wu Pei Qi told Day18 iteration

x='hello'
gxr=iter(x)
gxr=x.__iter__()

print(next(gxr))
print(gxr.__next__())

travel () === __ iter__   

next()===__next__

The feeling is to simplify command only. ,,, 10 lines of code, the simplified, with two command resolved, resulting in a new function

 

def l():
    yield 1
    yield 2
    yield 3
g=l()
print(g.__next__())
print(g.__next__())

This useful

 

name='alex'
# name='linhaifeng'
res='SB' if name == 'alex' else '帅哥'     (res=('SB' (if name == 'alex') else '帅哥'))
print(res)

Analyzing the 10 lines of code, the simplified, two command solved by generating a new function (Method)

= B (I for I in Range (10)) # generator expressions (). Processing of large data, not the station memory 
A = [I for I in Range (10)] # listing [] 
Print (A)
 Print (B )
 # Print (Next (A)) 
# Print (Next (A)) 
Print (Next (B))
 Print (Next (B)) 
Print

[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
<generator object <genexpr> at 0x0000019BC0709548>
0
1

Another, mainly to solve large quantities of data

print(sum(i for i in range(10) if i > 5 ))
print(sum([i for i in range(10) if i > 5 ]))

print([i for i in range(10) if i > 5 ])
print(i for i in range(10) if i > 5 )
打印

30 sum calculated
30 sum calculated
[6, 7, 8, 9] large data, total memory
<generator object <genexpr> at 0x000002013F3B9F48 > function supra, does not occupy memory

 

Today too sleepy ... sleep, get up early tomorrow to work